code: def data_normal():
      data = bmb.load_data("bikes")
      data.sort_values(by="hour", inplace=True)
      data_cnt_om = data["count"].mean()
      data_cnt_os = data["count"].std()
      data["count_normalized"] = (
          data["count"] - data_cnt_om
      ) / data_cnt_os
      data = data[::50]
      data = data.reset_index(drop=True)
      return data
  
file_path: bambi/tests/test_glmlss.py
imports: import numpy
  import pandas
  import pytest
  import bambi
label_desc: Use image node_id 3 for calling a global function with example usage: data_normal() and returns: data